code: def xshard_expand_dim(yhat, expand_dim=None):
      if len(expand_dim) >= 1:
          yhat["prediction"] = np.expand_dims(
              yhat["prediction"], axis=expand_dim
          )
      return yhat
  
imports: import torch
  import torch.nn
  import warnings
  import random
  import numpy
  from torch.utils.data import TensorDataset, DataLoader
  import numpy
  import multiprocessing
  import warnings
  import math
label_desc: Use image node_id 5 for calling a global function with example usage: xshard_expand_dim(yhat, expand_dim) and returns: yhat